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Overview of the ROMDAS System

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Title: Overview of the ROMDAS System


1
  • Overview of the ROMDAS System

2
Presentation Contents
  • Background to ROMDAS
  • Principles of Road Measurement
  • Asset Management Surveys
  • Roughness
  • Condition Rating
  • GPS
  • Transverse Profiles
  • Video Logging
  • Congestion
  • Setting up the Software
  • Installing ROMDAS in the Vehicle
  • Calibration
  • Surveys
  • Data Processing
  • Problem Solving

3
Development of ROMDAS
  • 1989 Simple Roughness Logging
  • 1991 PC Version
  • 1996 Transverse Profile Logger, Video System
  • 1997 Congestion, Crossfall
  • 1998 GPS, Skid Resistance, BI, DMI
  • 1999 Traffic Surveys, Manual Counter, Gyroscope
  • 2000 Direct Digitising, Road Management System
  • 2003 ROMDAS Windows software released

4
ROMDAS Components
5
ROMDAS Hardware Interface
6
ROMDAS Equipment
7
ROMDAS Software
  • Over 14,000 lines of code
  • Written in C and Clipper
  • Runs on any IBM Compatible PC
  • Regular updates and new releases

8
Underlying Principles
  • Low cost
  • Must be portable
  • Works with any vehicle
  • Use readily available technology
  • Robust
  • Simple to operate

9
Argentina
Philippines
Thailand
UK
New Zealand
10
Malaysia
Fiji
India
11
Tonga
Kenya
India
New Zealand
12
Supplementary Programs
  • Road Management System - Integrates data from all
    instruments in a single framework
  • Video Play - Play digitised videos
  • Profile Viewer - View transverse profiles

13
Over 120 Systems Used In 40 Countries
  • Argentina
  • Australia
  • Bangladesh
  • Barbados
  • Bhutan
  • Bosnia
  • Brazil
  • Chile
  • China
  • Colombia
  • Croatia
  • Ecuador
  • El Salvador
  • Ethiopia
  • Fiji
  • France
  • India
  • Indonesia
  • Ireland
  • Kenya
  • Lao PDR
  • Malawi
  • Malaysia
  • New Zealand
  • New Caledonia
  • Nicaragua
  • Pakistan
  • Philippines
  • Samoa
  • South Africa
  • South Korea
  • Tanzania
  • Thailand
  • Tonga
  • Trinidad and Tobago
  • Ukraine
  • United Kingdom
  • Uruguay
  • Vietnam
  • Zambia

14
Types of Applications
15
Principles of Road Measurement
16
Terminology
  • Chainage location along a road from start
  • LRP location reference point used as a survey
    reference point
  • Keyboard Rating recording events with the PC
    keyboard.
  • Continuous event - an event which applies over a
    section of the road
  • Point event - an event on or adjacent to the road
    which applies to a point
  • Transverse Profile - the pavement profile across
    a lane

17
Location Referencing
  • THE most important element of any project
  • Road projects use linear system although spatial
    has a role
  • Surveys always start and end at same point but
    NEVER get exactly same measured distance
  • Creates problems reconciling data

18
Location Reference Points
  • Regular points established along road at 1 - 5 km
    intervals
  • Km stones, culverts, bridges, any permanent
    feature
  • Distance between them is not important only that
    they will not move
  • All data expressed as an offset from LRP

19
Location Referencing Example
20
Example of LRP Resets
21
Example of ODO Error on Distance
22
Distance Measurement Accuracy
  • Function of number of pulses generated from DMI
  • Affected by
  • Tyre pressure
  • Tyre temperature
  • Speed
  • ROMDAS high resolution DMI 5 mm resolution
    standard 0.2 - 0.5 m resolution

23
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24
(No Transcript)
25
Keyboard Rating
  • During survey the operator uses the keyboard or
    mouse to record the location of events on or
    adjacent to the road
  • Any key can be assigned to a point or continuous
    event
  • Anything that can be observed can be recorded

26
Example of Ratings
ALWAYS include a no defect in any rating
system or will have problems in analyses
27
ROMDAS Rating Keyboards
20 Key Rating Keyboard
58 Key Rating Keyboard
28
Surveying Adjacent Sections
29
Asset Management Study Surveys
30
Survey Requirements
  • Typically collect data on
  • Roughness
  • Rut Depth
  • Surface Condition (eg Cracking, Potholes,
    Ravelling)
  • Inventory
  • Rise and Fall/Curvature
  • Road Width/Shoulder Width
  • Traffic Volume
  • GPS?
  • Video?

31
Types of Data
  • Inventory Data
  • physical elements of road network that do not
    change markedly over time
  • Condition Data
  • elements of the road network that change over
    time
  • Traffic Data

2
32
Deciding What to Collect
  • What decisions do we need to make?
  • What data are required to make these decisions?
  • Can we afford to collect the data?
  • If it needs updating, can we afford to keep data
    current over time?

3
33
Criteria for Selecting Data Items
  • Relevance
  • Appropriateness
  • Reliability
  • Affordability

4
34
Relevance
  • Every data item must have a direct influence on
    the project output
  • Data relevance depends on the items ultimate use
  • Data items which are considered to be desirable,
    interesting or possibly useful should be omitted

5
35
Appropriateness
  • Technology and resources used in acquiring,
    processing and managing the data should be
    appropriate to the capacity for maintaining the
    equipment, conducting the surveys and processing
    the data
  • Data collected to appropriate level of detail

6
36
Appropriateness ...
  • If looking over time, frequency of data
    collection based on rate of change of item
    out-of-date data are often irrelevant
  • Trade-offs need to be made between precise data
    collected infrequently on the one hand and less
    precise data collected more frequently

7
37
Reliability
  • Levels of accuracy and reliability vary
    considerably between different applications
  • Data must be consistent over time and between
    locations
  • The aim should be to have high levels of
    repeatability and reproducibility

8
38
Precision vs Speed
9
39
Affordability
  • Size and quality of all data and their
    acquisition must be affordable in terms of cost
    and resources
  • Scope of data collection weighed against
    resources required

10
40
Guiding Principle
  • Collect only the data you need!
  • Collect it only when you need to!
  • The level of detail should be appropriate for the
    decisions being made network level data for
    network level analyses project level for project
    level

11
41
Information Quality Levels (IQL)
  • Introduced by World Bank to help determine data
    requirements and design systems
  • Recognises that different levels of data are
    needed for different levels of management
    activities
  • Ensures that only enough data are collected to
    enable appropriate decisions to be made

12
42
IQL
13
43
IQL Pyramid
44
Information
Good information does not guarantee sound
management but bad information makes sound
management difficult
45
Roughness Surveys
46
Roughness
  • The bumpiness of the road
  • Important indicator of pavement condition and
    also influences vehicle operating costs
  • Usually expressed in terms of IRI International
    Roughness Index

47
IRI Simulation
48
IRI Scale
49
Roughness Measurements
  • Class 1
  • Manual profiler
  • Class 2
  • Non-contact Profilometer
  • Class 3
  • Response-type Roughness Meter (Bump Integrator)

50
ROMDAS Bump Integrator
51
ROMDAS BI Installed in Vehicle
52
Types of BI Installations
53
BI Mounting
54
Condition Rating Surveys
55
Visual Inspections
56
Measurements Using ROMDAS
  • Keycode rating surveys used to record distresses
  • Operator presses a key and the chainage of the
    distress
  • Point and Continuous Events
  • If you can see it from the vehicle you can
    collect the data with ROMDAS

57
Surface Distresses
  • Cracking
  • None
  • Low
  • Medium
  • High
  • Disintegration
  • Ravelling
  • Potholing
  • Bleeding
  • Delamination
  • Edge Defects
  • Edge Break
  • Edge Drop

58
Cracking Can Be Identified By
  • Shape
  • Block
  • Crocodile
  • Longitudinal
  • Location
  • Edge
  • Wheelpath
  • Cause
  • Fatigue
  • Thermal
  • Reflection
  • Ageing
  • Manner of Development
  • Top-Down
  • Bottom-Up

59
Block Cracking
60
Crocodile Cracking
61
Disintegration
  • Distress affecting surfacing course
  • Ravelling
  • Loss of stone and binder
  • Potholes
  • Bleeding (Flushing)
  • Surface aggregate immersed in binder
  • Delamination
  • Complete loss of surfacing

62
Edge Defects
  • Edge break
  • On narrow pavements due to traffic moving off
    edge
  • Shear forces cause edge to break
  • Edge drop
  • High lip on edge of pavement
  • Increases shear forces and contributes to edge
    break

63
Edge Defects
64
GPS Surveys
65
GPS
  • 24 satellites in 6 orbital planes 20,200 km above
    earth
  • Orientation means that usually 5 satellites in
    view from any point on earth
  • Satellites broadcast radio signal

66
Method of Measurement
  • GPS receiver measures time taken for signal to
    reach receiver
  • Timings analysed to triangulate the position
  • Minimum of four readings required to determine
    time, latitude, longitude and elevation

67
Satellite Triangulation
68
GPS Accuracy
  • Depends on
  • error in range measurements
  • geometry or relative positions of the satellites
    and the user (Dilution of Precision)

69
Example of Dilution of Precision
70
Typical GPS Errors
71
Improved Accuracy
  • Differential GPS uses secondary source to correct
    for errors in field survey
  • Base station
  • Satellite system (e.g. OmniStar)

72
ROMDAS and GPS
  • ROMDAS works with any GPS receiver
  • Queries receiver on 1 s basis and stores GPS and
    chainage data
  • Accuracy entirely dependent upon receiver

73
Transverse Profile Surveys
74
Transverse Profile Logger
  • Transverse profile measurements used to calculate
    the rut depth and distortion
  • ROMDAS uses ultrasonics for measurements

75
ROMDAS Transverse Profile Logger (TPL)
76
TPL With Wings Extended
77
Installing the TPL
78
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79
ROMDAS Transverse Profile Measurements
80
Composite Profile
81
Calculating Rut Depth
82
ROMDAS Rut DepthCalculation Method
83
Distortion
84
Field Validation of Measurements
85
Transverse Profile Testing
86
Observed vs Predicted Rutting
87
TRL Beam Sampled vs True Rutting
88
ROMDAS Rut Depth Tests
89
ROMDAS Elevation Tests
90
Temperature Effects on TPL Measurements
91
ROMDAS Profile Viewer
92
Calculating Crossfall
?c ?r ?h
93
Crossfall Scenarios
  • Both positive
  • Road to TPL negative TPL to horizontal positive
  • Road to TPL positive TPL to horizontal negative

94
Crossfall Data
  • Use a roll gyroscope to measure angle of TPL to
    horizontal
  • Angle of TPL to pavement
  • Use a linear regression on transverse profile
    data to get angle of TPL to pavement
  • Use elevation height differences between
    wheelpaths or edges of pavement

95
TPL to Road Regression
96
Calibrated Roll Option
  • Uses a calibration of the roll gyro to the
    crossfall
  • Results less accurate than using TPL data

97
Video Logging Surveys
98
Videologging Surveys
  • Provides permanent record of road environment
  • Best to supplement data collected from keycode
    rating and instruments
  • Can be digitised to be stored and played back on
    computer

99
ROMDAS Video System
100
V 2 Video System Enclosure
101
V 2 Video System Components
102
Example of Digitised Video(2 Frames/sec)
103
Example of VideoPlay Software
104
Moving Traffic Surveys
105
Moving Traffic Surveys
  • Record the number of vehicles travelling in
    opposite direction
  • ADT Vehicles/time
  • Adjust by time of day/day of week to make convert
    to AADT

106
Moving Survey vs 7-day Count (India)
107
Congestion Surveys
108
Surveys Used To
  • Identify capacity problem locations
  • Determine level of service
  • Establish impact of road improvements
  • Input to feasibility studies
  • Transportation planning studies

109
ROMDAS
  • Designed to calibrate HDM-4 congestion model
  • Considers effects of traffic interactions on
    vehicle operating costs

110
HDM Speed-Flow Model
111
Acceleration Noise
112
Traffic Effects
113
Skid Resistance Surveys
114
Findlay Irvine GripTester
115
Calibration
116
Calibration Procedure
  • Distance Measurement Instrument
  • Roughness Meter
  • Transverse Profile Logger

117
DMI Calibration
  • Measure 100 m using static tape
  • Run ROMDAS over 5 times
  • Mean used for calibration factor

118
Roughness Calibration
  • Identify test sections covering full range of
    roughnesses to be encountered in survey
  • Used reference instrument to establish roughness
  • Calculate IRI from reference instrument
  • Run ROMDAS over each section 5 times at each
    survey speed
  • Establish relationship between ROMDAS raw
    measurements and IRI

119
IRI Calibration
120
TPL Calibration
  • Static calibration to establish TPL distance
    correction factors
  • Verification test to confirm that the
    measurements are - 1.0 mm or better with 95
    confidence
  • Sensor relative height calibration

121
TPL Distance Calibration
122
Example of Verification Tests
123
ROMDAS Road Management System
124
Purpose
  • Single application to review all data collected
    in a survey
  • Can drive down the road and view the data
  • Contains utilities for processing data
  • Calibrate videos
  • Creating LRP files
  • Creating survey routes
  • Integrating .DBF files into Access database
  • Joining short survey sections into one file

125
Example of Display
Roughness
Video
Keycode
Digital Photos
Transverse Profile
Voice Recordings
Raw Data
126
Summary
127
Surveys
  • ROMDAS can be used for
  • Roughness
  • Keycode Rating
  • Transverse Profiles/Rut Depths
  • Video Logging
  • GPS
  • Traffic Counts
  • Congestion
  • Skid Resistance

128
System
  • Portable and easy to install
  • Collects data rapidly and efficiently
  • Proven in a range of countries
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